What's Your Data Management Maturity?

[@sanjaybhatikar]

Wow! You have a way of making complex concepts simple!

[@openmind6969]

Even almost 4 years later one of the best 'history of BI' and how the tools/processes relate I have seen. Anyone else seeing the management desire to 'start new' / 'reinvent simple' whenever the developed BI solutions appear to have become too complex for them to understand/manage?

[@Intricity101]

Many thanks Lothar. Let us know if we can help.

[@mariatheresapagdanganan6000]

Great videos from your channel! Still true and helpful 7 years later ☺️

[@Intricity101]

Thanks Maria!

[@promaFT]

thank you, this is very helpful

[@jstrehan]

Nice work!!

[@khari_baat]

Very helpful, thanks.

[@tatai1995]

Your videos are awesome and still holds valid till date. 👌 What are the future scopes of MDM ? Can ETL take over MDM & DQ?

[@شهریار_شهپری]

Looking at this from the volume of data-generated perspective is better than the revenue-generated perspective that's presented.

[@Intricity101]

Neither is ideal actually. There are organizations with massive data sets that can't afford to scale their transformation, and there are huge companies that have small data sets that still fund their data warehouse project because they want consistency. I chose revenue because it had the most consistent pattern of execution in practice.

[@شهریار_شهپری]

@@Intricity101 thank you for your insight!

[@taro10h]

Incredible insights about the data management maturity

[@Intricity101]

Thanks Thong!

[@galeop]

Great content, great animations. You need a better microphone though.

[@Intricity101]

Agreed, those earlier videos were a bit rough. They should be better now.

[@bobo21D]

118k views, 9 comments. Students around the world watch this and move on without saying thanks. Lmao

[@Intricity101]

bobo d Thanks!